UNet++ Compression Techniques for Kidney and Cyst Segmentation in Autosomal Dominant Polycystic Kidney Disease-Reference-Cited by-同舟云学术

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UNet++ Compression Techniques for Kidney and Cyst Segmentation in Autosomal Dominant Polycystic Kidney Disease

Published:2024 Issue:0 Volume:13 Page:134-143
ISSN:2187-5219
Container-title:Advanced Biomedical Engineering
language:en
Short-container-title:ABE

Author:

KRISHNAN Chetana¹,SCHMIDT Emma¹,ONUOHA Ezinwanne¹,MRUG Michal²³,CARDENAS Carlos E.¹⁴,KIM Harrison¹⁵,

Affiliation:

1. Departments of Biomedical Engineering, The University of Alabama at Birmingham

2. Departments of Nephrology, The University of Alabama at Birmingham

3. Department of Veterans Affairs Medical Center

4. Departments of Radiation Oncology, The University of Alabama at Birmingham

5. Departments of Radiology, The University of Alabama at Birmingham

Publisher

Japanese Society for Medical and Biological Engineering

Link

https://www.jstage.jst.go.jp/article/abe/13/0/13_134/_pdf

Reference27 articles.

1. 1. Perumareddi P, Trelka DP: Autosomal Dominant Polycystic Kidney Disease. Prim Care. 47(4), 673-689, 2020.

2. 2. Niu K, Guo Z, Peng X, Pei S. P-ResUnet: Segmentation of brain tissue with Purified Residual Unet. Comput Biol Med. 151(Pt B), 106294, 2022.

3. 3. Shao Y, Zhao K, Cao Z, Peng Z, Peng X, Li P, et al.: MobilePrune: Neural Network Compression via l(0) Sparse Group Lasso on the Mobile System. Sensors (Basel). 22(11), 2022.

4. 4. Liu D, Zheng M, Sepulveda NA: Using Artificial Neural Network Condensation to Facilitate Adaptation of Machine Learning in Medical Settings by Reducing Computational Burden: Model Design and Evaluation Study. JMIR Form Res. 5(12), e20767, 2021.

5. 5. Tan K, Wang D: Towards Model Compression for Deep Learning Based Speech Enhancement. IEEE/ACM Trans Audio Speech Lang Process. 29, 1785-1794, 2021.

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